{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table width=\"100%\" style=\"padding:0; margin-left:-6px;\">\n",
    "    <tr style=\"padding=0;\" width=\"100%\">\n",
    "        <td width=\"auto\">\n",
    "           <hr style=\"border:2px solid darkblue\">\n",
    "            <h1> nb5. Query by spatial resolution</h1>\n",
    "           <hr style=\"border:2px solid darkblue\">\n",
    "        </td>\n",
    "        <td width=\"60px\">\n",
    "           <img src=\"ALMAsmall.png\" align=\"right\"/> \n",
    "        </td>\n",
    "    </tr>\n",
    "</table>  \n",
    "\n",
    "\n",
    "-------------\n",
    "\n",
    "The relevant columns in the ALMA Science Archive TAP service are \n",
    "* *spatial_resolution*\n",
    " \n",
    "--------- ----- -----\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import all necessary modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-16T10:26:59.443297Z",
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     "shell.execute_reply": "2021-11-16T10:27:00.466512Z"
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   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pyvo\n",
    "\n",
    "service = pyvo.dal.TAPService(\"https://almascience.eso.org/tap\")      # for the EU ALMA TAP service\n",
    "\n",
    "# service = pyvo.dal.TAPService(\"https://almascience.nao.ac.jp/tap\")  # for the EA ALMA TAP service\n",
    "# service = pyvo.dal.TAPService(\"https://almascience.nrao.edu/tap\")   # for the NA ALMA TAP service"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr style=\"border:2px solid darkblue\"> </hr>\n",
    "\n",
    "\n",
    "## Query a given spatial resolution within a science keyword and data type\n",
    "<hr style=\"border:2px solid darkblue\"> </hr>\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-16T10:27:00.473157Z",
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     "iopub.status.idle": "2021-11-16T10:27:00.475213Z",
     "shell.execute_reply": "2021-11-16T10:27:00.474583Z"
    }
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   "outputs": [],
   "source": [
    "def query_science_keyword_data_type_spatial_resolution(service, science_keyword, datatype, res_min, res_max):\n",
    "    \"\"\"Queries in a single query for the keyword, datatype (cube or image) and resolutions of science observations\n",
    "    \n",
    "       service               pyvo TAPService instance\n",
    "       science_keyword       one of the science keywords (see Notebook 4, Example 4a or the ALMA Science Archive query interface)\n",
    "       datatype              \"cube\" or \"image\"\n",
    "       res_min               minimum spatial resolution in arcsec (see Notebook 0, Example 0a for the list of columns and their units)\n",
    "       res_max               maximum spatial resolution in arcsec\n",
    "              \n",
    "       returns               pandas table    \n",
    "    \"\"\"\n",
    "\n",
    "    query = f\"\"\"   \n",
    "            SELECT * \n",
    "            FROM ivoa.obscore \n",
    "            WHERE science_keyword like '%{science_keyword}%'  \n",
    "            AND science_observation = 'T' \n",
    "            AND dataproduct_type = '{datatype}'  \n",
    "            AND spatial_resolution < '{res_max}'  \n",
    "            AND spatial_resolution > '{res_min}'  \n",
    "            \"\"\"\n",
    "    \n",
    "    return service.search(query).to_table().to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------------------------------------------------- \n",
    "\n",
    "## Example 5a: Query all continuum observations of \"starburst galaxies\" (science keyword) with spatial resolution <0.1 arcsec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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     "iopub.status.idle": "2021-11-16T10:27:01.072326Z",
     "shell.execute_reply": "2021-11-16T10:27:01.071794Z"
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   "outputs": [
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       "4  http://almascience.org/aq?member_ous_id=uid://...     text/html   \n",
       "\n",
       "      proposal_id data_rights  gal_longitude  gal_latitude  \\\n",
       "0  2013.1.00001.S      Public      99.677774    -57.988309   \n",
       "1  2013.1.00001.S      Public      99.677774    -57.988309   \n",
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       "4  2013.1.00001.S      Public     107.865398    -61.832810   \n",
       "\n",
       "             obs_publisher_did obs_collection facility_name instrument_name  \\\n",
       "0  ADS/JAO.ALMA#2013.1.00001.S           ALMA           JAO            ALMA   \n",
       "1  ADS/JAO.ALMA#2013.1.00001.S           ALMA           JAO            ALMA   \n",
       "2  ADS/JAO.ALMA#2013.1.00001.S           ALMA           JAO            ALMA   \n",
       "3  ADS/JAO.ALMA#2013.1.00001.S           ALMA           JAO            ALMA   \n",
       "4  ADS/JAO.ALMA#2013.1.00001.S           ALMA           JAO            ALMA   \n",
       "\n",
       "   ...   frequency velocity_resolution  obs_creator_name  \\\n",
       "0  ...  343.493812        26653.960581       Ivison, Rob   \n",
       "1  ...  343.493812        26653.960581       Ivison, Rob   \n",
       "2  ...  343.493812        26653.960581       Ivison, Rob   \n",
       "3  ...  343.493812        26653.960581       Ivison, Rob   \n",
       "4  ...  343.493836        26653.960581       Ivison, Rob   \n",
       "\n",
       "                                           pub_title  \\\n",
       "0  A dusty star-forming galaxy at z = 6 revealed ...   \n",
       "1  A dusty star-forming galaxy at z = 6 revealed ...   \n",
       "2  A dusty star-forming galaxy at z = 6 revealed ...   \n",
       "3  A dusty star-forming galaxy at z = 6 revealed ...   \n",
       "4  A dusty star-forming galaxy at z = 6 revealed ...   \n",
       "\n",
       "                                        first_author  qa2_passed  \\\n",
       "0  Klitsch, A. Long, Arianna S. Ma, Jingzhe Oteo,...           T   \n",
       "1  Klitsch, A. Long, Arianna S. Ma, Jingzhe Oteo,...           T   \n",
       "2  Klitsch, A. Long, Arianna S. Ma, Jingzhe Oteo,...           T   \n",
       "3  Klitsch, A. Long, Arianna S. Ma, Jingzhe Oteo,...           T   \n",
       "4  Klitsch, A. Long, Arianna S. Ma, Jingzhe Oteo,...           T   \n",
       "\n",
       "                                       bib_reference  \\\n",
       "0  2016ApJ...827...34O 2017ApJ...850....1R 2018Ap...   \n",
       "1  2016ApJ...827...34O 2017ApJ...850....1R 2018Ap...   \n",
       "2  2016ApJ...827...34O 2017ApJ...850....1R 2018Ap...   \n",
       "3  2016ApJ...827...34O 2017ApJ...850....1R 2018Ap...   \n",
       "4  2016ApJ...827...34O 2017ApJ...850....1R 2018Ap...   \n",
       "\n",
       "                             science_keyword  scientific_category  \\\n",
       "0  Starburst galaxies, Sub-mm Galaxies (SMG)      Active galaxies   \n",
       "1  Starburst galaxies, Sub-mm Galaxies (SMG)      Active galaxies   \n",
       "2  Starburst galaxies, Sub-mm Galaxies (SMG)      Active galaxies   \n",
       "3  Starburst galaxies, Sub-mm Galaxies (SMG)      Active galaxies   \n",
       "4  Starburst galaxies, Sub-mm Galaxies (SMG)      Active galaxies   \n",
       "\n",
       "              lastModified  \n",
       "0  2021-09-30T16:34:41.133  \n",
       "1  2021-09-30T16:34:41.133  \n",
       "2  2021-09-30T16:34:41.133  \n",
       "3  2021-09-30T16:34:41.133  \n",
       "4  2021-09-30T16:34:41.133  \n",
       "\n",
       "[5 rows x 63 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_cont = query_science_keyword_data_type_spatial_resolution(service, 'Starburst galaxies', 'image', 0, 0.1)\n",
    "output_cont.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the distribution of high spatial-resolution continuum observations of starburst galaxies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-16T10:27:01.077141Z",
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     "shell.execute_reply": "2021-11-16T10:27:01.544326Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_cont['spatial_resolution'].plot.hist(bins=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are the target names associated with the continuum observations of starburst galaxies at high spatial-resolutions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-16T10:27:01.551512Z",
     "iopub.status.busy": "2021-11-16T10:27:01.550830Z",
     "iopub.status.idle": "2021-11-16T10:27:01.553610Z",
     "shell.execute_reply": "2021-11-16T10:27:01.554112Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(87,\n",
       " array(['3c368', 'ALESS_112.1', 'ALESS_15.1', 'ALESS_17.1', 'ALESS_3.1',\n",
       "        'ALESS_76.1', 'ALESS_9.1', 'AzTEC-3', 'AzTEC_8', 'GDS-25998',\n",
       "        'GDS-9834', 'HELMS_182', 'HELMS_34', 'HELMS_42', 'HELMS_65',\n",
       "        'J2054-0005', 'MAMBO-9', 'SDSS_J2310+1855', 'SGP-33512',\n",
       "        'SGP-466329', 'SGP-51987', 'SGP-759717', 'SGP38326',\n",
       "        'SMMJ21352-0102', 'UDF2', 'UDF3', 'VV2006_J205724.2-003019',\n",
       "        'scuba2-035', 'scuba2-038', 'scuba2-041', 'scuba2-046',\n",
       "        'scuba2-048', 'scuba2-053', 'scuba2-054', 'scuba2-055',\n",
       "        'scuba2-061', 'scuba2-062', 'scuba2-064', 'scuba2-065',\n",
       "        'scuba2-066', 'scuba2-067', 'scuba2-068', 'scuba2-069',\n",
       "        'scuba2-070', 'scuba2-072', 'scuba2-074', 'scuba2-075',\n",
       "        'scuba2-076', 'scuba2-077', 'scuba2-080', 'scuba2-083',\n",
       "        'scuba2-084', 'scuba2-085', 'scuba2-086', 'scuba2-089',\n",
       "        'scuba2-091', 'scuba2-093', 'scuba2-094', 'scuba2-095',\n",
       "        'scuba2-097', 'scuba2-098', 'scuba2-099', 'scuba2-100',\n",
       "        'scuba2-101', 'scuba2-102', 'scuba2-103', 'scuba2-104',\n",
       "        'scuba2-105', 'scuba2-106', 'scuba2-107', 'scuba2-109',\n",
       "        'scuba2-111', 'scuba2-113', 'scuba2-114', 'scuba2-116',\n",
       "        'scuba2-118', 'scuba2-119', 'scuba2-120', 'scuba2-121',\n",
       "        'scuba2-122', 'scuba2-123', 'scuba2-124', 'scuba2-125',\n",
       "        'scuba2-126', 'scuba2-127', 'scuba2-128', 'scuba2-129'],\n",
       "       dtype=object))"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(np.unique(output_cont['target_name'])), np.unique(output_cont['target_name'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "--------------------------------\n",
    "## Example 5b: Query all line observations of starburst galaxies with spatial resolution <0.1 arcsec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-16T10:27:01.562661Z",
     "iopub.status.busy": "2021-11-16T10:27:01.561991Z",
     "iopub.status.idle": "2021-11-16T10:27:01.813380Z",
     "shell.execute_reply": "2021-11-16T10:27:01.812550Z"
    }
   },
   "outputs": [],
   "source": [
    "output_spec = query_science_keyword_data_type_spatial_resolution(service, 'Starburst galaxies', 'cube', 0, 0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the distribution of high spatial-resolution spectroscopic observations of starburst galaxies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-16T10:27:01.832059Z",
     "iopub.status.busy": "2021-11-16T10:27:01.818330Z",
     "iopub.status.idle": "2021-11-16T10:27:01.991453Z",
     "shell.execute_reply": "2021-11-16T10:27:01.990908Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_spec['spatial_resolution'].plot.hist(bins=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are the target names associated with the spectroscopic observations of starburst galaxies at high spatial-resolutions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-16T10:27:01.997165Z",
     "iopub.status.busy": "2021-11-16T10:27:01.996463Z",
     "iopub.status.idle": "2021-11-16T10:27:02.001422Z",
     "shell.execute_reply": "2021-11-16T10:27:02.001939Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11,\n",
       " array(['AzTEC-3', 'AzTEC_8', 'BRI1335', 'CDFS_12631', 'GDS-25998',\n",
       "        'NB2315', 'PKS_0529-549', 'SGP38326', 'SGP54107', 'SMMJ21352-0102',\n",
       "        'VV2006_J205724.2-003019'], dtype=object))"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(np.unique(output_spec['target_name'])), np.unique(output_spec['target_name'])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}